What is the price of LG washing machine 6.2 kg?
What is the price of LG washing machine 6.2 kg?
LG P7255R3FA 6.2 Kg Semi Automatic Top Load Washing Machine Specifications
| title | LG P7255R3FA 6.2 Kg Semi Automatic Top Load Washing Machine |
|---|---|
| color | Red, White, Burgundy |
| type | Top Load |
| control | Semi Automatic |
| price in india | 10025 |
What is fuzzy logic in LG washing machine?
The fuzzy logic checks for the extent of dirt and grease, the amount of soap and water to add, direction of spin, and so on. The machine rebalances washing load to ensure correct spinning. Else, it reduces spinning speed if an imbalance is detected.
Which LG washing machine is best?
Best LG top load washing machines for your home
- LG 7 kg fully automatic top load washing machine (T70SJBK1Z)
- LG 6.5 kg fully automatic top load washing machine (T65SJSF3Z)
- LG 8 kg fully automatic top load washing machine (T80SJFS1Z)
- LG 9 kg fully automatic top load washing machine (T90SJSF1Z)
How many clothes can I put in 6.2 kg washing machine?
In a 6.2 kg washing machine, you can approximately wash 10-12 clothes at a time.
How much clothes can a 6.5 kg washer hold?
Do you recall how much clothes can we put in 6.5 kg washing machine? In a 6.5kg washing machine, you can conveniently wash about 25 T-shirts or 3 shirts, 2 pairs of adult denim Jeans or 3 small towels, 3 dish towels, 4 pillow covers, 1 bedsheet.
What is the price of LG washing machine?
Best LG Washing Machine Price in India (June 2022)
| Washing Machines Price List | Price |
|---|---|
| LG T70SKSF1Z 7 Kg Fully Automatic Top Load Washing Machine | Rs.17,490 |
| LG T8069NEDLH 7 Kg Fully Automatic Top Load Washing Machine | Rs.18,490 |
| LG P7015SRAY 7.0 Kg Semi Automatic Top Load Washing Machine | Rs.12,990 |
Why do we use fuzzy logic?
Fuzzy logic is used in Natural language processing and various intensive applications in Artificial Intelligence. It is extensively used in modern control systems such as expert systems. Fuzzy Logic mimics how a person would make decisions, only much faster. Thus, you can use it with Neural Networks.
